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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151885
Doc. No : ET23677
Main Entry : Pradeep Panthulu, B.E
Title Proper : INTELLIGENT MEMORY MANAGEMENT HEURISTICS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Panthulu, Pradeep, Intelligent Memory Management Heuristics. Master ofScience (Computer Science), December 2003, 63 pp., 5 tables, 20 illustrations,references, 16 titles.Automatic memory management is crucial in implementation of runtime systemseven though it induces a significant computational overhead. In this thesis I explore theuse of statistical properties of the directed graph describing the set of live data to decidebetween garbage collection and heap expansion in a memory management algorithmcombining the dynamic array represented heaps with a mark and sweep garbage collectorto enhance its performance.The sampling method predicting the density and the distribution of useful data isimplemented as a partial marking algorithm. The algorithm randomly marks the nodes ofthe directed graph representing the live data at different depths with a variable probabilityfactor p. Using the information gathered by the partial marking algorithm in the currentstep and the knowledge gathered in the previous iterations, the proposed empiricalformula predicts with reasonable accuracy the density of live nodes on the heap, to decidebetween garbage collection and heap expansion. The resulting heuristics are testedempirically and shown to improve overall execution performance significantly in thecontext of the Jinni Prolog compilerبs runtime system.............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46924.pdf
Title and statement of responsibility and : INTELLIGENT MEMORY MANAGEMENT HEURISTICS [Thesis]
 
 
 
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